negotiator.boaframework.opponentmodel

Class PerfectIAMhagglerBayesianModel

java.lang.Object

negotiator.boaframework.OpponentModel

negotiator.boaframework.opponentmodel.PerfectIAMhagglerBayesianModel

public class PerfectIAMhagglerBayesianModel
extends OpponentModel

IAMhagglerModel by Colin Williams, adapted for the BOA framework. Modified such that it has perfect knowledge about the opponent's strategy. Tim Baarslag, Koen Hindriks, Mark Hendrikx, Alex Dirkzwager and Catholijn M. Jonker. Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

Author:

Colin Williams, Mark Hendrikx

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PerfectIAMhagglerBayesianModel.Extreme

Field Summary

Fields inherited from class negotiator.boaframework.OpponentModel

negotiationSession, opponentUtilitySpace

Constructor Summary

Constructors

Constructor and Description
PerfectIAMhagglerBayesianModel()

Method Summary

Methods

Modifier and Type	Method and Description
void	cleanUp() Removes references to the objects used by the opponent model.
protected void	findMinMaxUtility() Find the minimum and maximum utilities of the bids in the utility space.
EvaluatorHypothesis	getBestHypothesis(int issue)
double	getBidEvaluation(Bid bid) Determines the utility of a bid according to the preference profile.
double	getExpectedUtility(Bid bid) Get the expected utility of a bid.
double	getExpectedWeight(int number) Get the expected weight of a particular issue.
double	getExtremeEvaluation(Evaluator evaluator, PerfectIAMhagglerBayesianModel.Extreme extreme)
Hypothesis	getHypothesis(int index)
java.lang.String	getName()
double	getNormalizedUtility(Bid bid) Get the normalised utility of a bid.
double	getNormalizedUtility(Bid bid, boolean debug) Get the normalised utility of a bid.
UtilitySpace	getOpponentUtilitySpace()
double	getWeight(Issue issue) Returns the weight of a particular issue in the domain.
void	init(NegotiationSession negotiationSession, java.util.HashMap<java.lang.String,java.lang.Double> parameters) Initializes the model.
void	setOpponentUtilitySpace(BilateralAtomicNegotiationSession session) Method which may be overwritten by an opponent model to get access to the opponent's utilityspace.
void	setOpponentUtilitySpace(UtilitySpace opponentUtilitySpace) Method which may be overwritten by an opponent model to get access to the opponent's utilityspace.
void	updateModel(Bid opponentBid, double time) Update the beliefs about the opponent, based on an observation.

Methods inherited from class negotiator.boaframework.OpponentModel

getIssueWeights, init, isCleared, updateModel

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PerfectIAMhagglerBayesianModel

public PerfectIAMhagglerBayesianModel()

Method Detail

setOpponentUtilitySpace

public void setOpponentUtilitySpace(BilateralAtomicNegotiationSession session)

Description copied from class: OpponentModel

Method which may be overwritten by an opponent model to get access to the opponent's utilityspace.

Overrides:

setOpponentUtilitySpace in class OpponentModel

init

public void init(NegotiationSession negotiationSession,
        java.util.HashMap<java.lang.String,java.lang.Double> parameters)
          throws java.lang.Exception

Description copied from class: OpponentModel

Initializes the model. The init method should always be called after creating an opponent model.

Overrides:

init in class OpponentModel

Parameters:

negotiationSession - reference to the state of the negotiation

Throws:

java.lang.Exception

getBidEvaluation

public double getBidEvaluation(Bid bid)

Description copied from class: OpponentModel

Determines the utility of a bid according to the preference profile.

Overrides:

getBidEvaluation in class OpponentModel

Parameters:

bid - of which the utility is calculated.

Returns:

Utility of the bid

getNormalizedUtility

public double getNormalizedUtility(Bid bid)
                            throws java.lang.Exception

Get the normalised utility of a bid.

Parameters:

bid - The bid to get the normalised utility of.

Returns:

the normalised utility of a bid.

Throws:

java.lang.Exception

getNormalizedUtility

public double getNormalizedUtility(Bid bid,
                          boolean debug)
                            throws java.lang.Exception

Get the normalised utility of a bid.

Parameters:

bid - The bid to get the normalised utility of.

debug - Whether or not to output debugging information

Returns:

the normalised utility of a bid.

Throws:

java.lang.Exception

getExpectedUtility

public double getExpectedUtility(Bid bid)
                          throws java.lang.Exception

Get the expected utility of a bid.

Parameters:

bid - The bid to get the expected utility of.

Returns:

the expected utility of the bid.

Throws:

java.lang.Exception

updateModel

public void updateModel(Bid opponentBid,
               double time)

Update the beliefs about the opponent, based on an observation.

Specified by:

updateModel in class OpponentModel

Parameters:

opponentBid - The opponent's bid that was observed.

time - at which the bid was offered.

Throws:

java.lang.Exception

findMinMaxUtility

protected void findMinMaxUtility()
                          throws java.lang.Exception

Find the minimum and maximum utilities of the bids in the utility space.

Throws:

java.lang.Exception

getWeight

public double getWeight(Issue issue)

Description copied from class: OpponentModel

Returns the weight of a particular issue in the domain.

Overrides:

getWeight in class OpponentModel

Parameters:

issue - from which the weight should be returned

Returns:

weight of the given issue

getExtremeEvaluation

public double getExtremeEvaluation(Evaluator evaluator,
                          PerfectIAMhagglerBayesianModel.Extreme extreme)

getExpectedWeight

public double getExpectedWeight(int number)

Get the expected weight of a particular issue.

Parameters:

number - The issue number.

Returns:

the expected weight of a particular issue.

getBestHypothesis

public EvaluatorHypothesis getBestHypothesis(int issue)

getHypothesis

public Hypothesis getHypothesis(int index)

getOpponentUtilitySpace

public UtilitySpace getOpponentUtilitySpace()

Overrides:

getOpponentUtilitySpace in class OpponentModel

Returns:

the estimated utility space of the opponent

getName

public java.lang.String getName()

Overrides:

getName in class OpponentModel

Returns:

name of the opponent model.

cleanUp

public void cleanUp()

Description copied from class: OpponentModel

Removes references to the objects used by the opponent model.

Overrides:

cleanUp in class OpponentModel

setOpponentUtilitySpace

public void setOpponentUtilitySpace(UtilitySpace opponentUtilitySpace)

Description copied from class: OpponentModel

Method which may be overwritten by an opponent model to get access to the opponent's utilityspace.

Overrides:

setOpponentUtilitySpace in class OpponentModel